Sketch-in-Latents: Enhancing Reasoning in Large Language Models

The ArXiv article introduces a novel approach for improving the reasoning capabilities of Multimodal Large Language Models (MLLMs). This work likely proposes a method to guide MLLMs using intermediate latent representations, potentially leading to more accurate and robust outputs.

• •Focuses on improving reasoning in MLLMs.
• •Proposes a novel technique involving latent representations.
• •The approach is detailed in an ArXiv paper.